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Profiling the transcription factor regulatory networks of human cell types
Neph et al. (2012) (Circuitry and dynamics of human transcription factor regulatory networks. Cell, 150: 1274–1286) reported the transcription factor (TF) regulatory networks of 41 human cell types using the DNaseI footprinting technique. This provides a valuable resource for uncovering regulation p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227771/ https://www.ncbi.nlm.nih.gov/pubmed/25300490 http://dx.doi.org/10.1093/nar/gku923 |
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author | Zhang, Shihua Tian, Dechao Tran, Ngoc Hieu Choi, Kwok Pui Zhang, Louxin |
author_facet | Zhang, Shihua Tian, Dechao Tran, Ngoc Hieu Choi, Kwok Pui Zhang, Louxin |
author_sort | Zhang, Shihua |
collection | PubMed |
description | Neph et al. (2012) (Circuitry and dynamics of human transcription factor regulatory networks. Cell, 150: 1274–1286) reported the transcription factor (TF) regulatory networks of 41 human cell types using the DNaseI footprinting technique. This provides a valuable resource for uncovering regulation principles in different human cells. In this paper, the architectures of the 41 regulatory networks and the distributions of housekeeping and specific regulatory interactions are investigated. The TF regulatory networks of different human cell types demonstrate similar global three-layer (top, core and bottom) hierarchical architectures, which are greatly different from the yeast TF regulatory network. However, they have distinguishable local organizations, as suggested by the fact that wiring patterns of only a few TFs are enough to distinguish cell identities. The TF regulatory network of human embryonic stem cells (hESCs) is dense and enriched with interactions that are unseen in the networks of other cell types. The examination of specific regulatory interactions suggests that specific interactions play important roles in hESCs. |
format | Online Article Text |
id | pubmed-4227771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42277712014-11-21 Profiling the transcription factor regulatory networks of human cell types Zhang, Shihua Tian, Dechao Tran, Ngoc Hieu Choi, Kwok Pui Zhang, Louxin Nucleic Acids Res Computational Biology Neph et al. (2012) (Circuitry and dynamics of human transcription factor regulatory networks. Cell, 150: 1274–1286) reported the transcription factor (TF) regulatory networks of 41 human cell types using the DNaseI footprinting technique. This provides a valuable resource for uncovering regulation principles in different human cells. In this paper, the architectures of the 41 regulatory networks and the distributions of housekeeping and specific regulatory interactions are investigated. The TF regulatory networks of different human cell types demonstrate similar global three-layer (top, core and bottom) hierarchical architectures, which are greatly different from the yeast TF regulatory network. However, they have distinguishable local organizations, as suggested by the fact that wiring patterns of only a few TFs are enough to distinguish cell identities. The TF regulatory network of human embryonic stem cells (hESCs) is dense and enriched with interactions that are unseen in the networks of other cell types. The examination of specific regulatory interactions suggests that specific interactions play important roles in hESCs. Oxford University Press 2014-11-10 2014-10-09 /pmc/articles/PMC4227771/ /pubmed/25300490 http://dx.doi.org/10.1093/nar/gku923 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Zhang, Shihua Tian, Dechao Tran, Ngoc Hieu Choi, Kwok Pui Zhang, Louxin Profiling the transcription factor regulatory networks of human cell types |
title | Profiling the transcription factor regulatory networks of human cell types |
title_full | Profiling the transcription factor regulatory networks of human cell types |
title_fullStr | Profiling the transcription factor regulatory networks of human cell types |
title_full_unstemmed | Profiling the transcription factor regulatory networks of human cell types |
title_short | Profiling the transcription factor regulatory networks of human cell types |
title_sort | profiling the transcription factor regulatory networks of human cell types |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227771/ https://www.ncbi.nlm.nih.gov/pubmed/25300490 http://dx.doi.org/10.1093/nar/gku923 |
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